Microsoft Azure AI Foundry Training

Live Online & Classroom Enterprise Training

Microsoft Azure AI Foundry is a unified platform for building, customizing, and managing AI applications and intelligent agents. It streamlines the entire lifecycle—from prototyping to production—by integrating models, tools, orchestration, and governance into one environment

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Real-time code analysis and feedback

What is Microsoft Azure AI Foundry Course about?

Microsoft Azure AI Foundry offers a comprehensive set of tools and services to accelerate AI development on the cloud. This course covers the platform’s capabilities, including Azure Cognitive Services, AI model training, deployment pipelines, and monitoring. Learners will gain hands-on experience in building intelligent applications, integrating AI with business processes, and ensuring compliance and security in AI deployments.

What are the objectives of Microsoft Azure AI Foundry Course ?

Understand Azure AI Foundry architecture and components
Build and deploy AI models using Azure tools
Integrate Azure Cognitive Services into applications
Manage AI model lifecycle and monitor performance
Ensure security and compliance in AI solutions

Who is Microsoft Azure AI Foundry Course for?

AI developers and data scientists
Cloud engineers working with Microsoft Azure
Solution architects designing AI applications
Business analysts integrating AI into workflows
IT professionals managing AI deployments

What are the prerequisites for Microsoft Azure AI Foundry Course?

Prerequisites:

Basic understanding of Azure cloud services
Familiarity with AI and machine learning concepts
Experience with programming languages like Python or C#
Knowledge of DevOps principles
Understanding of APIs and web services

Learning Path:

Introduction to Azure AI Foundry
Setting up AI development environments
Building AI models and integrating Cognitive Services
Deployment, scaling, and monitoring AI solutions
Security, compliance, and governance in Azure AI

Related Courses:

Microsoft Azure AI Engineer Associate
Azure Machine Learning Fundamentals
Microsoft Cognitive Services Deep Dive
Azure DevOps for AI Projects

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction & AI Copilots

Introduction

Overview of Copilots

Capital C Copilots (Enterprise-level AI copilots)

Little c copilots (Consumer or smaller copilots)

Copilot Studio (Development environment for copilots)

Module 2: Azure AI Foundry Core & AI Models

Azure AI Foundry core capabilities

Types of AI models (foundation, domain-specific, open-source, proprietary)

Trends in AI (generative AI developments)

Traditional AI services vs. generative AI

Module 3: Working with Azure AI Foundry

Portal and SDK overview

Model collection and catalog

Limitations: Model lack of memory

Execution environments: Where the model is running

Benchmarks and performance metrics

Module 4: Deployment & Integration Options

GitHub Marketplace integrations

Deployment options overview

Serverless endpoint deployment

Managed compute options

Interacting with generative AI (APIs and client apps)

Module 5: Model Lifecycle & Advanced Techniques

Model retirements and lifecycle management

Model evaluations and quality assurance

Tracing and telemetry for AI models

Fine tuning techniques for models

Distillation (model compression and optimization)

Inferencing API usage

Module 6: AI Safety & Responsible AI

Safety in AI applications

AI Agents overview

Orchestrators for AI workflows

Module 7: Azure AI Search & Project Management

Azure AI Search capabilities and integration

Hubs and projects management in Azure AI Foundry

Integration strategies with existing systems

Who is the instructor for this training?

The trainer for this Microsoft Azure AI Foundry Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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